Graduate Handbook - University of Virginia

Transcription

Graduate Handbook - University of Virginia
Department of Computer Science
Graduate Handbook
Department of Computer Science
85 Engineer’s Way
P.O. Box 400740
Charlottesville, VA.
22904-4740
Phone: 434-982-2200
Fax: 434-982-2214
http://www.cs.virginia.edu
12 June 2015
Contents
1
2
3
4
Introduction
1.1 Computer Science Department
1.2 Diversity Statement . . . . . .
1.3 Degrees Offered . . . . . . . .
1.4 Department Organization . . .
1.5 Collegiality . . . . . . . . . .
1.6 Contact Information . . . . . .
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
1
1
1
2
2
3
3
Graduate Academic Program
2.1 Temporary Advisor . . . .
2.2 Research Advisor . . . . .
2.3 Student Evaluations . . . .
2.4 Admissions and Transfers .
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
5
6
6
6
7
Graduate Student Employment
3.1 Teaching Assistant Responsibilities
3.2 Research Assistant Responsibilities
3.3 Summer Support . . . . . . . . . .
3.4 International Students . . . . . . . .
3.4.1 Internships . . . . . . . . .
3.4.2 Full-Time Status . . . . . .
3.5 Funding Adjustments . . . . . . . .
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
9
9
10
10
11
11
11
11
Master’s Degrees
4.1 Course and Degree Requirements . . . . . . . . . . . .
4.1.1 Minimum Credits . . . . . . . . . . . . . . . . .
4.2 Common Master’s Degree Approaches . . . . . . . . . .
4.2.1 Terminal Coursework-Based MCS Requirements
4.2.2 Project-Based MCS Requirements . . . . . . . .
4.3 Uncommon Master’s Degree Approaches . . . . . . . .
4.3.1 Terminal Project-Based MCS Requirements . . .
4.3.2 Terminal Thesis-Based MS Requirements . . . .
4.3.3 Thesis-Based MS Requirements . . . . . . . . .
4.4 Master’s Degree Forms . . . . . . . . . . . . . . . . . .
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
13
13
13
14
14
15
16
16
17
18
19
.
.
.
.
.
.
.
.
i
5
6
Qualifying Examination
5.1 Qualifying Examination Timeline . . . . . . . . . .
5.2 Qualifying Examination Committee . . . . . . . . .
5.3 Qualifying Examination Breadth Requirement . . . .
5.3.1 Qualifying Examination Breadth Areas . . .
5.4 Qualifying Examination Depth Requirement . . . . .
5.4.1 Qualifying Examination Proposal Document
5.4.2 Qualifying Examination Reading List . . . .
5.5 Qualifying Examination Defense . . . . . . . . . . .
5.5.1 Qualifying Examination Final Report . . . .
5.5.2 Qualifying Examination Oral Defense . . . .
5.5.3 Qualifying Examination Depth Outcomes . .
5.6 Qualifying Examination Overall Outcomes . . . . .
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
21
21
22
22
23
23
23
25
26
26
27
27
28
PhD Degrees
6.1 PhD Requirements . . . . . . . . . . .
6.2 PhD Proposal . . . . . . . . . . . . . .
6.2.1 PhD Proposal Committee . . . .
6.2.2 PhD Proposal Document . . . .
6.2.3 PhD Proposal Oral Presentation
6.2.4 PhD Proposal Outcomes . . . .
6.3 PhD Defense . . . . . . . . . . . . . .
6.3.1 PhD Defense Committee . . . .
6.3.2 PhD Dissertation . . . . . . . .
6.3.3 PhD Oral Defense . . . . . . .
6.3.4 PhD Outcomes . . . . . . . . .
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
29
29
30
30
30
31
31
32
32
32
33
33
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
7
University Policies and Resources
35
8
Forms
37
ii
Chapter 1
Introduction
1.1
Computer Science Department
The University of Virginia’s Computer Science graduate program aims to produce
well-educated researchers, teachers, and future leaders in Computer Science. Graduate degrees are a certification by the faculty that the student has a broad education in
Computer Science and has performed original research in the area.
Through the development of sophisticated computer systems, algorithms, and hardware, computer scientists have the opportunity to change society in ways unimagined
several years ago. Our goal is the education and training of a diverse body of students
who can lead this information technology revolution. To this end, our computing graduate program orients students toward advanced studies and groundbreaking research in
multiple aspects of computer science. Computational thinking is rooted in solid mathematics and science, and grounding in these fundamentals is essential. Our laboratory
environment exposes students to many research and commercial software tools and
systems and introduces modern software development techniques. Our graduate training provides a capstone for computer science education and prepares students for the
highest possible computing careers in industry and academia. Graduate students will
participate in cutting-edge research with department faculty members. The knowledge
and skills acquired from our graduate degree program will give students the ability to
make contributions in their own field as well as to society at large.
1.2
Diversity Statement
The members of the department envision an environment where a diversity of capable,
inspired individuals congregate, interact and collaborate, to learn and advance knowledge, without barriers. We embrace this vision because:
• We wish to be leaders and role models in reaping and sharing the benefits of
diversity.
1
• We seek to improve the intellectual environment and creative potential of our
department.
• We expect to produce happier, more capable and more broadly educated computer science graduates.
• We wish to contribute to social justice and economic well being for all citizens.
1.3
Degrees Offered
The Department of Computer Science offers three computing degrees available to graduate students in the School of Engineering and Applied Science.
• Master of Computer Science (MCS). The MCS degree is a graduate professional
degree with an emphasis on coursework. It enhances the professional instruction
of an undergraduate program by providing students with greater knowledge and
deeper understanding of computer science.
• Master of Science (MS). The MS degree introduces students to research at the
graduate level with a focus on a formal written thesis.
• Doctor of Philosophy (PhD). The PhD program prepares students for faculty careers at world-class universities and for research positions in leading government
or industrial research labs. It is common, but not required, for PhD students to
obtain an MCS or MS degree along the way.
Degree details and requirements are provided later in this document.
1.4
Department Organization
While every faculty and staff member of the department plays a part in the graduate
experience, some roles have significant impact on graduate student life:
Position
Currently Serving
Department Chair
Director of Graduate Studies
Graduate Ombudsman
Graduate Administrator
Kevin Skadron
Westley Weimer
Jack Davidson
Kim Gregg
Each student also works closely with at least one research advisor and frequently
interacts with several committees. Advisors are discussed in detail in Chapter 2.1 and
Chapter 2.2, while committees are discussed in detail in Chapter 5.2, Chapter 6.2.1 and
Chapter 6.3.1.
Department faculty members are divided into tenure-track (or research) faculty and
general (or teaching) faculty. General faculty members are not directly involved in the
graduate program and the term “faculty” refers to tenure-track faculty in this document
unless otherwise noted.
2
1.5
Collegiality
The Computer Science department at the University of Virginia prides itself on its
collegial and democratic atmosphere. Relationships between students, advisors and
faculty are cordial and open. Part of this spirit is a strong sense of cooperation and volunteerism among the graduate students, exemplified by the Computer Science Graduate Student Group. The CSGSG is a student-run organization that works closely with
the faculty, sends representatives to faculty meetings, identifies and advocates for student concerns, and takes leadership and planning roles in departmental activities. All
graduate students are encouraged to participate, and more information can be found at
http://www.cs.virginia.edu/˜csgsg/.
1.6
Contact Information
The Computer Science department is located in Rice Hall.
Department of Computer Science
85 Engineer’s Way
P.O. Box 400740
Charlottesville, VA.
22904-4740
Phone: 434-982-2200
Fax: 434-982-2214
http://www.cs.virginia.edu
Graduate students may use the department address for any school-related purposes.
Mail sent to the P.O. Box listed above can be picked up at the front desk. Packages
delivered by courier services other than the United States Postal Service (e.g., FedEx,
UPS, etc.) should be given the physical address (85 Engineer’s Way) rather than the
P.O. Box, and may be claimed in the department’s front office.
3
4
Chapter 2
Graduate Academic Program
The typical graduate student accomplishes the following milestones while working on
the PhD degree:
1. Select a faculty research advisor;
2. Pass the two portions of the qualifying exam:
• Breadth: take six courses spanning the CS curriculum;
• Depth: propose and defend a 3-credit research project and demonstrate
mastery of selected readings related to that project;
3. Propose PhD research through a written and oral outline of planned research
activities; and
4. Defend a PhD dissertation, which is a written and oral report of the completed
PhD research.
The qualifying examination can fulfill many of the requirements of the MCS Master’s
Degree (see Chapter 4) and most students opt to obtain that degree before the PhD proposal. Students also take additional courses and file administrative forms throughout
the degree program. Details on each step, as well as steps taken by students working
on the MCS and MS degrees, are outlined later in this document.
Unless otherwise noted, all timelines and dates given are for students entering with
a bachelor’s degree. Differences for students who have a master’s degree are indicated
separately as appropriate. Timing is expressed in terms of semesters. Only Fall and
Spring semesters are counted, so for example the “third semester” of a student entering
during the summer term is that student’s second fall semester. Where specific numbers
are given, these are requirements that can only be deferred with approval from the
graduate program director.
This document details the necessary steps each graduate student must take, but
students are encouraged to perform many other activities. For example, almost all
successful graduate students publish multiple papers, but the department has no formal publication requirement. A graduate student’s advisor will have more information
about such elements of a successful graduate experience.
5
2.1
Temporary Advisor
During orientation (held right before each Fall semester), each student is assigned a
temporary advisor to aid in the selection of their first semester courses. The temporary
advisor also assists with educational and administrative issues that may arise during
the student’s first semester but typically does not provide research guidance.
For various reasons, some students do not obtain a temporary advisors during orientation. Such students should contact the graduate program director or the administrator
as soon as possible to have one assigned.
2.2
Research Advisor
Research advisors provide oversight and mentoring of a student’s entire graduate experience. A student’s research advisor (or simply advisor) is selected during the matching
process, which is part of the first-semester CS 6190 course. Near the end of the first
semester, students are asked to supply a prioritized list of potential advisors with whom
they have discussed research opportunities during the first semester. Similar prioritized
lists of students are provided by faculty, and these preferences are used to match each
student with a research advisor. In cases where it becomes necessary to change research advisors, the student should discuss this potential change with both their current
advisor and their new advisor and communicate the final result to the front office so
that the update is recorded properly.
An advisor’s role is to guide the student through all phases of the graduate program.
At times this includes helping the student through special circumstances not covered
by official policies. Students who have concerns that cannot be resolved on their own
should bring these concerns to their advisor, who will assist them in bringing the matter
to a suitable conclusion. Students with concerns about their advisor should first contact
the graduate program director and then, if desired, the ombudsman.
2.3
Student Evaluations
The entire faculty meet once a year to evaluate each student’s progress. A student
demonstrates progress by passing courses, completing the qualifying examination, doing directed research, teaching, and doing thesis work. While students are encouraged
to shape an educational program to suit their needs, financial support and/or permission
to continue in the graduate program depends on satisfactory progress each semester
along at least some of these categories. Ideally, this process should contain no surprises as students and advisors will discuss goals and progress throughout each year.
The yearly evaluation process is sometimes referred to as “Bright Monday.”
Students should complete the “Graduate Student Annual Report Form” and turn it
in to the department administrator (see Chapter 8).
The outcome of the student evaluation process is a formal letter sent to each student
representing the overall faculty evaluation of the student at that point in time. Students
who do not receive this letter contact their advisor or the graduate administrator.
6
2.4
Admissions and Transfers
Most students seeking admission to the Computer Science graduate program do so
via the standard University of Virginia School of Engineering and Applied Sciences
graduate applications process. Applications are evaluated by the Computer Science
Graduate Admissions Committee.
UVa undergraduates applying for the “five-year Bachelor’s and Master’s” program
also apply using the UVa SEAS graduate application process as normal (even though
they are already UVa students), being careful to indicate that they are applying for
that program. See the Undergraduate Handbook for more information. Once accepted, CS graduate students who were also UVa undergraduate students should fill
out this form http://www.seas.virginia.edu/advising/SEAS_grad_
course_approval.pdf in their first full graduate semester to “carry over” any
graduate courses taken as an undergraduate.
Current UVa graduate students who wish to transfer from another program (such
as Computer Engineering) or another department (such as Electrical Engineering) to
the PhD, MS or project-based MCS program should first identify a potential advisor in
Computer Science. The potential advisor should be willing to advise, fund and support
the student. The student then presents a packet consisting of a Curriculum Vitae, graduate and undergraduate transcripts, and a single letter of support and justification from
the advisor to the Computer Science Graduate Admissions Committee for evaluation
(which may ask for additional information in some cases). If the transfer is approved,
the Graduate Admissions Committee and/or Graduate Program Committee will sign
the appropriate transfer form.
Current UVa graduate students who wish to transfer from another program or department to our self-funded coursework-based MCS program do not need a commitment from an advisor in Computer Science. Students seeking to transfer to the MCS
should present a packet consisting of a Curriculum Vitae, graduate and undergraduate
transcripts, and a single letter of recommendation from the current (non-CS) advisor.
The packet should be presented to the Graduate Admissions Committee, as above.
7
8
Chapter 3
Graduate Student Employment
The typical graduate student is employed by the department, either as a teaching assistant (TA) or as a research assistant (RA). As university employees, TAs and RAs
are expected to perform their duties in a prompt and proper manner. A student funded
by the department may not also have outside employment without permission from the
Computer Science Chair and the SEAS Graduate Dean. Full-time graduate students
must also not unilaterally accept research internships without prior approval from their
advisor.
All full-time graduate students must sign up for 12 credit hours per semester (but
see Section 3.4.2 for more information for international students). Students commonly
augment standard courses with research and teaching hours (e.g., CS 7993, CS 7995,
CS 8897, CS 8999 or CS 9999) to reach the 12 credit hour minimum.
3.1
Teaching Assistant Responsibilities
TAs are important members of the department’s professional teaching staff. Each TA
is assigned to assist in the educational goals of one or more course sections. This assignment is typically given by the director of graduate studies early in the semester and
is accompanied by an expected number of hours the TA will devote to each course. Because schedules and resources can change up to the beginning of classes each semester,
TAs should not be surprised if course assignments are not made until after courses actually begin. TAs without an assignment by the second week of classes should contact
the graduate program director.
Students should enroll in up to 3 credits of CS 8897 (CS 9897 for doctoral students)
each semester in which they are employed as a TA. Students assigned to TA multiple
courses should split the amounts among those courses at their discretion (e.g., 1 in
Course A and 2 in Course B), noting that it is not possible to sign up for 1.5 credit
hours.
Specific TA responsibilities for a particular course are assigned by the instructor.
Common duties include grading, proctoring laboratory sections, holding office hours
and help sessions, attending class, reading instructional materials, completing assign9
ments, answering email or forum questions, and tutoring students in need of additional
help.
Additional duties directly related to a particular course may be assigned by an instructor. Students concerned that specific duties are inappropriate or off-topic may
seek resolution through the instructor, their advisor, or the graduate ombudsman. A TA
whose duties require significantly more or less time than than their assigned weekly
hours should inform the course instructor so that a more appropriate set of duties can
be assigned.
Each TA is responsible for obtaining a proper understanding of the course material.
TAs without a firm grasp of course concepts should obtain guidance from the instructor
or request a change in course assignments from the director of graduate studies when
given the course assignment.
TAs are employees and representatives of the department and the university. As
such, they should behave with professional courteously and politeness in all their official communications and activities. This includes handling student questions in a
polite, constructive, and accurate manner.
The period of TA employment begins with the beginning of the semester and lasts
until the final grades are submitted to the registrar. TAs should be reliable in all their
duties. Non-emergency absences from scheduled duties within that time must be approved by the graduate program director.
UVa maintains a teaching resource center with published information helpful in
guiding TA interactions with students. These publications are online at http://
trc.virginia.edu/Publications/.
3.2
Research Assistant Responsibilities
Students receiving research funding are called research assistants. Each RA is assigned
to a particular advisor and is given a number of hours each week to devote to that
advisor’s research program. The majority of a typical graduate student’s academic
tenure is spent as an RA.
RAs and advisors are colleagues in research and the employer-employee relationship is rarely visible as they work together to expand the frontiers of knowledge. However, there are elements of a research program that may not appeal to the RA but still
need to be completed. While an RA is often officially a 20-hour position, success in
graduate school and in industrial or academic research requires more than 20 hours
per week. A student who is concerned that specific duties are inappropriate or offtopic may seek resolution with the advisor, the graduate ombudsman, or the director of
graduate studies.
3.3
Summer Support
Summer support is available for many students, particularly those working on dissertations. In addition, the faculty believe that it is often beneficial for graduate students
10
to gain direct experience with industrial or industrial research through summer internships. Graduate-level summer internships often lead to a publication, provide external
committee members (see Chapter 6.2.1 and Chapter 6.3.1), and help in the evaluation
of possible careers. Research advisors will help in finding suitable summer employment.
3.4
3.4.1
International Students
Internships
International students should contact the International Studies Office when considering
an internship. For example, students on an F-1 Visa may be required to complete the
Curricular Practical Training form. CPT typically requires the student to take a class
(such as CS 7995 or 8999) for credit in which the internship work is reported and
written up as part of the CS curriculum.
Students who complete a CPT internship in the Summer may take the course for
credit that same Summer or the subsequent Fall semester. Students typically take the
course in the Fall semester to avoid Summer tuition.
Students who complete a CPT internship in the Fall or Spring may either take the
course for credit that same semester or the subsequent semester.
3.4.2
Full-Time Status
Students on F-1 Visas are usually required to take 12 credit hours per semester (i.e., at
least four courses) to qualify as full-time students and satisfy visa requirements.
Students pursuing a Ph.D., a project-based MCS, or an MS degree can take additional credit hours corresponding to their research to reach the 12 credit hour requirement. However, coursework-based MCS students typically have no research project
and might consider an independent study (CS 7993).
There are three exceptions to the full-time status requirement:
1. In the student’s final semester, full-time status is not required to receive a degree.
2. In the case of illness or medical condition, with formal approval through ISO,
the Dean’s Office, and a doctor’s note, full-time status is not required.
3. In the case of certain academic issues, such as improper placement in a course
of study or initial difficulty with English, with formal approval through ISO,
full-time status is not required.
3.5
Funding Adjustments
For those students who have been awarded financial aid, the following policy applies.
Funding for master’s degree students remains constant (except for possible cost-ofliving increases). PhD students, however, are paid increasing amounts according to the
following three-step scale:
11
1. Incoming students (regardless of previous degree)
2. Passed Qualifying Examination (see Chapter 5)
3. Passed Dissertation Proposal Examination (see Chapter 6.2)
12
Chapter 4
Master’s Degrees
The CS department offers two Master’s degrees: a Master of Science (MS) degree,
which requires a thesis, and a Master of Computer Science (MCS) degree, which focuses on a project. Many students choose to complete an MS or MCS degree while
working on a PhD, and some courses and activities can fulfill requirements in both. Although most students finish within two years, the time limit for degree completion after
entering the Master’s program is five years for the MS and seven years for the MCS.
Degree requirements set by the School of Engineering and Applied Science (SEAS)
are given in the SEAS Graduate Record (see Chapter 7) and are additional to the CS
Graduate Program requirements.
In addition, there are special rules for students in a Master’s-only program or students who are terminating their graduate studies with a Master’s degree.
4.1
Course and Degree Requirements
All graduate degrees offered by the department require a combination of research and
coursework. Each student is required to meet both the SEAS-defined minimum number of credits for a graduate degree and the department-defined breadth of instruction.
These accountings are performed independently; for example, CS 6161 counts as a
course towards the minimum to earn a degree and also satisfies the department’s theory
breadth requirement for passing the qualifying examination (see Chapter 5.3).
4.1.1
Minimum Credits
Students must have a minimum number of graded, graduate-level credits. A graduatelevel class is any class numbered 5000 or above. No grade lower than a “C” will be
accepted towards satisfying this requirement, and the average of all grades in courses
uses to satisfy CS graduate degree requirements must be at least a “B”.
In addition to graded courses, students are required to take some number of research credits for each degree. Students employed as TAs should also register for TA
13
credits (CS 8897 and CS 9897; see Chapter 3.1)); these do not count toward the requirements of any degree.
All students must take “Computer Science Perspectives” (CS 6190) during their
first Fall semester.
The minimum number of credits depends on the particular degree sought.
Students are not permitted to earn both an MS and an MCS.
4.2
Common Master’s Degree Approaches
This subsection describes the two most common Master’s degree approaches supported
by our department. The default is the coursework-based MCS (see Chapter 4.2.1),
but students are welcomed and encouraged to pursue a research project with a faculty
advisor.
4.2.1
Terminal Coursework-Based MCS Requirements
Students in a Master’s-only program, or students who are terminating their graduate
studies with a Master’s degree (and thus not pursuing a Ph.D.), may elect to complete
the MCS degree requirements entirely via coursework, skipping the project and the
Ph.D. qualifying examination.
The terminal coursework-based MCS degree requires a minimum of 31 graduatelevel credits, including
• “Computer Science Perspectives” (CS 6190)
– can be waived by permission of the graduate program director
• “Theory of Computation” (CS 6160)
• “Design and Analysis of Algorithms” (CS 6161)
• “Computer Architecture” (CS 6354)
• “Operating Systems“ (CS 6456)
• at least 18 credits of graded graduate-level coursework (“graduate electives”),
containing
– at least one graded graduate-level mathematics course (may be satisfied by
transfer credit)
∗ MATH and APMA courses are acceptable
∗ “Introduction to Machine Learning and Data Mining” (CS 6501) is
acceptable
∗ other non-CS graduate courses with a significant mathematical component can also satisfy this requirement with the prior written approval
of the graduate program director
14
– no more than 6 credits from 5000-level courses, none of which are from the
CS department.
– no more than 6 transfer credits (see Chapter 7)
• A project presentation is not required for the terminal coursework-based MCS
degree.
• Complete the “Engineering Design” and “Engineering Analysis” assessment forms
with your instructor from CS 6161 or CS 6160. (Optionally, you may complete
each assessment form with any other instructor from your graded, graduate-level
CS classes.)
• Complete the “Plan of Study” assessment form with your CS advisor. (Optionally, you may complete this assessment with the graduate program director.)
There is no independent research project requirement for students completing a
terminal coursework-based MCS degree. Terminal coursework-based MCS students
may, however, choose to fulfill one of the electives via an MCS project.
Incoming master’s students are placed in the terminal coursework-based MCS curriculum by default. The coursework-based MCS has “requirement term code” 1152
(or, equivalently, 1148) on the Student Information System (SIS). Students interested
in pursuing a different path to the Master’s degree should contact the CS office about
changing their curriculum in the system.
4.2.2
Project-Based MCS Requirements
Most students working toward a Ph.D. degree complete a Master’s degree along the
way. Such students usually complete the project-based MCS degree requirements.
The project-based MCS degree requires a minimum of 31 graduate-level credits,
including
• “Computer Science Perspectives” (CS 6190)
– can be waived by permission of the graduate program director
• at least 3 credits of supervised project research (CS 7995), typically associated
with the student’s MCS and Qualifying Examination project
• at least 27 credits of graded graduate-level coursework, containing
– at least one graded graduate-level mathematics course (may be satisfied by
transfer credit)
∗ MATH and APMA courses are acceptable
∗ “Introduction to Machine Learning and Data Mining” (CS 6501) is
acceptable
∗ other non-CS graduate courses with a significant mathematical component can also satisfy this requirement with the prior written approval
of the graduate program director
15
– no more than 6 credits from 5000-level courses, none of which are from the
CS department.
– no more than 6 transfer credits (see Chapter 7)
• Completion of the Qualifying Examination (see Chapter 5)
– The depth component of the Qualifying Examination also counts as an
MCS project presentation
• Complete the “Engineering Design”, “Engineering Analysis” and “Oral Communication” assessment forms. You should bring these forms to your MCS Project
Presentation.
Students are encouraged to complete this project-based MCS degree on the way to
the PhD degree.
The project-based MCS has “requirement term code” 1138 on the Student Information System (SIS). Students interested in pursuing this path to the Master’s degree
should contact the CS office about changing their curriculum in the system.
4.3
Uncommon Master’s Degree Approaches
This subsection describes uncommon Master’s degree approaches supported by our department. Students should discuss plans with an advisor before attempting to complete
any of these Master’s degree approaches.
4.3.1
Terminal Project-Based MCS Requirements
Students in a Master’s-only program, or students who are terminating their graduate
studies with a Master’s degree (and thus not pursuing a Ph.D.), may elect to complete
the MCS degree requirements via a project and coursework, skipping the Ph.D. qualifying examination.
The default for terminal MCS students is to complete the terminal courseworkbased MCS (see Chapter 4.2.1). However, students are welcomed and encouraged to
pursue a project-based MCS with a faculty advisor.
The terminal project-based MCS degree requires a minimum of 31 graduate-level
credits, including
• “Computer Science Perspectives” (CS 6190)
– can be waived by permission of the graduate program director
• at least 3 credits of supervised project research (CS 7995) associated with the
student’s MCS Project
• at least 27 credits of graded graduate-level coursework, containing
– at least one graded graduate-level mathematics course (may be satisfied by
transfer credit)
16
∗ MATH and APMA courses are acceptable
∗ “Introduction to Machine Learning and Data Mining” (CS 6501) is
acceptable
∗ other non-CS graduate courses with a significant mathematical component can also satisfy this requirement with the prior written approval
of the graduate program director
– no more than 6 credits from 5000-level courses, none of which are from the
CS department.
– no more than 6 transfer credits (see Chapter 7)
• Completion of the MCS Project Presentation
– a 30-minute publicly-announced presentation with your advisor and at least
one other faculty member present
• Complete the “Engineering Design”, “Engineering Analysis” and “Oral Communication” assessment forms. You should bring these forms to your MCS Project
Presentation.
The project-based MCS has “requirement term code” 1138 on the Student Information System (SIS). Students interested in pursuing this path to the Master’s degree
should contact the CS office about changing their curriculum in the system.
4.3.2
Terminal Thesis-Based MS Requirements
Students in a Master’s-only program, or students who are terminating their graduate
studies with a Master’s degree (and thus not pursuing a Ph.D.), may elect to complete
the MS degree requirements entirely via a thesis and coursework, skipping the Ph.D.
qualifying examination.
The default for terminal Master’s students is to complete a terminal courseworkbased MCS (see Chapter 4.2.1). However, students are welcomed and encouraged to
pursue a Thesis-based MS with a faculty advisor.
The terminal thesis-based MS degree requires a minimum of 31 graduate-level
credits, including
• “Computer Science Perspectives” (CS 6190)
– can be waived by permission of the graduate program director
• “Theory of Computation” (CS 6160)
• “Design and Analysis of Algorithms” (CS 6161)
• “Computer Architecture” (CS 6354)
• “Operating Systems“ (CS 6456)
• at least 12 credits of graded graduate-level coursework (“graduate electives”),
containing
17
– at least one graded graduate-level mathematics course (may be satisfied by
transfer credit)
∗ MATH and APMA courses are acceptable
∗ “Introduction to Machine Learning and Data Mining” (CS 6501) is
acceptable
∗ other non-CS graduate courses with a significant mathematical component can also satisfy this requirement with the prior written approval
of the graduate program director
– no more than 6 credits from 5000-level courses, none of which are from the
CS department.
– no more than 6 transfer credits (see Chapter 7)
• at least 6 credits of “Masters Thesis Research” (CS 8999)
• Acceptance of MS Thesis
• Complete the “Engineering Design”, “Engineering Analysis” and “Oral Communication” assessment forms. These forms are completed as your MS Thesis
is accepted.
The terminal thesis-based MS currently has no “requirement term code” on the Student Information System (SIS). Students interested in pursuing this path to the Master’s
degree should contact the graduate program director.
4.3.3
Thesis-Based MS Requirements
Most students working toward a Ph.D. degree completing a Master’s degree along the
way. Students may elect to complete a thesis-based MS degree.
The default Master’s degree for students pursuing a Ph.D. degree is the projectbased MCS degree (see Chapter 4.2.2). However, students are welcomed and encouraged to pursue a Thesis-based MS degree with a faculty advisor.
The thesis-based MS degree requires a minimum of 31 graduate-level credits, including
• “Computer Science Perspectives” (CS 6190) (or permission of the graduate program director)
– can be waived by permission of the graduate program director
• at least 6 credits of research (CS 8999)
• at least 24 credits of graded graduate-level coursework, containing
– at least one graded graduate-level mathematics course (may be satisfied by
transfer credit)
∗ MATH and APMA courses are acceptable
18
∗ “Introduction to Machine Learning and Data Mining” (CS 6501) is
acceptable
∗ other non-CS graduate courses with a significant mathematical component can also satisfy this requirement with the prior written approval
of the graduate program director
– no more than 9 credits from 5000-level courses, none of which are from the
CS department.
– no more than 6 transfer credits (see Chapter 7)
• Completion of the Qualifying Examination (see Chapter 5)
• Acceptance of MS Thesis
• Complete the “Engineering Design”, “Engineering Analysis” and “Oral Communication” assessment forms. These forms are completed as your MS Thesis
is accepted.
The thesis-based MS currently has no “requirement term code” on the Student Information System (SIS). Students interested in pursuing this path to the Master’s degree
should contact the graduate program director.
4.4
Master’s Degree Forms
To receive a master’s degree, students must file form “Application for Graduate Degree” (see Chapter 8) at the start of the semester during which they expect to graduate
(i.e., no later than 1 October, 1 February, or 1 June, respectively).
Student should double-check their completion of the requirements using the report
offered by the Student Information System (SIS) website.
A PhD student who plans to continue on to the PhD program after a master’s degree
will need to fill out the “Request Program or Plan Change Form”. This administrative
form allows the student to temporarily be listed as a Master’s student, receive the Master’s degree, and then return to the PhD program. It is purely a temporary bookkeeping
measure required by the UVA system and is not a punitive or permanent change in any
way.
19
20
Chapter 5
Qualifying Examination
The qualifying examination is designed to evaluate a student’s ability to pursue and
to successfully complete graduate-level research. All graduate students, except those
leaving with a terminal Master’s degree, are required to pass all parts of the qualifying
examination.
The qualifying examination consists of two parts: breadth and depth. The breadth
portion of the exam requires coursework in four major research areas: computer systems, software systems, application systems, and theory. The depth portion of the exam
focuses on the student’s research potential and requires the student to propose and to
complete a semester-long research project guided by their research advisor. The student then prepares a written report and oral defense for evaluation by a faculty committee. The student’s committee is responsible for approving both the breadth and depth
portions of the qualifying exam.
Each element of the qualifying process has an associated deadline. During periodic
reviews of graduate students, the faculty will note any missed deadlines related to the
qualifying examination and communicate them to the student in the official progress
letter. In the worst case, students who do not complete the requirements in a timely
manner will be asked to leave the program.
5.1
Qualifying Examination Timeline
All students completing the qualifying examination are required to adhere to the following timeline:
• By October 15th of the student’s third semester. The committee must have
approved the qualifying examination proposal including an updated plan of study
(see Chapter 5.3), the reading list (see Chapter 5.4.2), and the project document
proper (see Chapter 5.4.1).
• By March 1st of the student’s fourth semester. The breadth and depth portions
of the qualifying examination must be entirely completed (see Chapter 5.5).
21
• Any exceptions from these deadlines require a petition to the graduate program
committee (see Chapter 1.4).
– Many students match with an advisor in their second semester (instead of in
their first semester). Such students should request a one-semester extension
to the qualifying examination timeline.
Students are responsible for calibrating committee expectations with regards to
these deadlines.
5.2
Qualifying Examination Committee
The student must form a qualifying examination committee by the first month of the
student’s second semester. The qualifying exam committee comprises the student’s
research advisor and three other CS faculty members. Alternative committee compositions may be approved by the graduate program director.
Form “Appointment of Final Examination Committee” should be filed after a student has formed a qualifying exam committee, selecting “Master of Science Final
Exam” (see Chapter 8) even for students not electing to earn a Master’s degree. Each
committee should have an explicit chair, who directs meetings procedurally. Any member of the committee, including the advisor, may serve as the chair for the qualifying
exam committee.
For a student entering with a master’s degree, the committee should be formed
within the first month the student is enrolled. The committee may be formed under a
temporary advisor if a research advisor has not yet been selected.
The committee evaluates all aspects of the student’s qualifying examination process. They approve the student’s course selection for satisfying the breadth portion
of the qualifying exam. The committee evaluates the student’s qualifying proposal,
including the reading list selection. The committee members read and evaluate the student’s written report and attend the student’s oral defense of qualifying research. Their
objective is to gauge the student’s research ability and likelihood of succeeding in the
graduate program.
5.3
Qualifying Examination Breadth Requirement
To satisfy the breadth requirement of the PhD qualifying exam, each student must take
the following courses within their first four semesters in the graduate program (three
semesters for students entering the department with a master’s degree):
• At least one 4000-level or higher course from each breadth area (see Chapter 5.3.1);
• At least two 5000-level or higher courses from any of the four breadth areas.
(Note that the number of 5000-level credits accepted for a graduate degree is
limited by SEAS.)
22
Each of these courses must be distinct, for a total of six courses. Each of these
six courses must be passed with a minimum grade of a “B” (not “B−”), and with a
cumulative GPA of at least 3.6. Individual breadth course requirements may be satisfied by transfer credit at the discretion of the student’s curriculum committee (see also
Chapter 7).
Note that while 4000-level courses may be used to satisfy some breadth requirements, they are not graduate-level courses and do not satisfy degree requirements that
demand graduate-level courses.
Students entering with or earning a Master’s degree prior to their PhD may fulfill
the breadth requirement by transfer credits at the discretion of their committee; however, they are still required to take at least six credit hours of coursework beyond their
Master’s coursework.
5.3.1
Qualifying Examination Breadth Areas
The department distinguishes four major areas for research and coursework:
• Computer systems (architecture, operating systems, networks)
• Software systems (programming languages, compilers, software engineering)
• Application systems (graphics, databases, artificial intelligence, etc.)
• Theory (theory, algorithms, security)
Each graduate student is expected to be knowledgeable in all four areas.
Each course is assigned to one breadth area. The assignment of a special topics
course to a breadth area depends on the topic of the course and is handled on a caseby-case basis by the student’s committee. The committee will take into account the
student’s body of work as well as the instructor’s classification of the course, if relevant.
The mapping between courses and breadth areas can be found in Tables 5.1.
5.4
Qualifying Examination Depth Requirement
The depth component of the qualifying examination begins with a written proposal
document and a meeting with the student’s committee. Together, the document and
meeting establish the project expectations. The student must provide the committee
with the proposal document at least one week prior to the meeting. The meeting also
allows discussion of the student’s reading list. The student should prepare a 15-minute
presentation to open the meeting with the committee. This meeting must take place by
the end of the student’s second semester.
5.4.1
Qualifying Examination Proposal Document
The student’s proposal document should be sufficient for the committee to make a
determination about the research quality of the project. It should be between two and
five pages in length and contain the following elements:
23
X
6415
6444
6456
6501
6610
6620
6750
6840
6993
7457
7501
7620
7716
7882
7993
7995
8516
8524
8535
8545
8561
8575
8584
8897
8999
9897
9999
X
X
X
X
X
X
(varies by section)
X
X
X
X
X
X
X
X
X
X
(varies by section)
X
X
X
X
— n/a —
X
X
X
X
24
Theory
Application Systems
Software Systems
Application Systems
Theory
Course
X
Computer Systems
4102
4240
4330
4414
4434
4444
4457
4458
4501
4610
4620
4630
4710
4750
4753
4810
4820
4840
5487
5501
5787
5788
6160
6161
6190
6240
6250
6316
6354
Software Systems
Course
Computer Systems
Table 5.1: Breadth area of each CS course number. Courses marked “— n/a —” do
not count toward breadth requirements.
X
X
X
(varies by section)
X
X
X
X
(varies by section)
X
(varies by section)
X
X
X
— n/a —
— n/a —
X
X
X
X
X
X
X
— n/a —
— n/a —
— n/a —
— n/a —
Abstract An executive summary, no more than half a page long
Motivation What is the problem and why is it important? What is the hypothesis of
this research?
Contributions What are the main ideas and why do they matter? In what way are
these ideas novel?
Related work What is the relevant prior work and state-of-the-art in this area?
Detailed research plan What specific goals or milestones will be completed during
the research project and how will they be implemented, designed, and evaluated?
For projects with a significant implementation component, give enough details
of the features to be implemented and the experimental setup involved for the
committee to judge the feasibility of the proposed work. For projects with a
significant formal component, give enough details of the formalisms used (e.g.,
proposed theorems, proof schemas, and logical frameworks) for the committee
to judge the feasibility of the proposed work.
Summary A short summary of the above and potential future work.
The ordering of the sections above may vary depending on the committee’s preferences. Many proposals also include a section devoted to the work completed by the
student prior to the proposal.
The proposal document is not binding in either direction. However, students should
discuss any major deviations with their committees. The proposal document is intended
to assist the student in the formalization of the research project and to ensure that the
student is not undertaking too much or too little work. If the committee is not satisfied with the proposal, it may request amendments or changes and set appropriate due
dates. Typically, the committee will indicate weaknesses in the proposal that must be
addressed in the final report and presentation for the student to pass the depth requirement. The committee will also indicate deadlines for any required revisions.
5.4.2
Qualifying Examination Reading List
The qualifying exam proposal should include a reading list that the oral examination
may cover. The student and research advisor prepare an initial reading list, which
should be included as an appendix in the proposal document. During the initial meeting, the committee may make changes or additions to the reading list. During the
proposal presentation, the selection of materials for the reading list may be reviewed
and amended. During the report presentation, the student may be questioned about the
content of each work on that list.
The reading list consists of:
Focus papers A small number (typically two or three) papers representing the state of
the art in the area. The student will be expected to know these papers in detail.
25
Background readings Typically a textbook and one or two book chapters or survey
papers, or no textbooks and four or five book chapters or survey papers.
The student will be expected to have a firm command of the material covered in
these readings, as shown through general understanding and an ability to place
the work in context, but will not be questioned about them as closely as on the
focus papers.
Related works The proposal (and later project report) bibliography comprises the rest
of the reading list. The student should understand the main idea of each such
paper, why that paper is cited, and its relevance to the proposed research.
5.5
Qualifying Examination Defense
The qualifying defense comprises a final project report written by the student and a
public oral defense of the research. All students, even those with a previous Master’s
degree, must register for three credits of CS 7995 (or CS 8999) in the semester they
give their qualifying defense.
5.5.1
Qualifying Examination Final Report
The report should convey the results of the project and include evidence and arguments
that those results are valid. The report should be 10–12 pages long using a typical
publication format from conferences in the topical field. The exact format and style of
the report may vary somewhat across topics but in general will include the following
elements:
• Presentation of the work’s motivation, hypothesis and contributions.
• Placement of the work in the context of prior art.
• An explanation of how the proposed work was carried out. Where applicable,
this should provide enough information for the reader to replicate the results.
• Conclusions drawn from the work and a discussion of future research directions
that the project suggests.
• A copy of the final reading list should be included as an appendix in the final
report.
The report should be self-contained and independent of the corresponding proposal.
The report should provide enough context and detail so that a reader of the proposal
can readily see how the work fulfills the promises in the proposal.
The report and all associated materials must be provided to the committee at least
one week in advance of the defense meeting.
26
5.5.2
Qualifying Examination Oral Defense
The student’s final presentation to the committee is open to the public. The student
must provide the final report to the committee at least one week in advance. The student must also arrange for the department graduate administrator to publicize the time
and date of the final presentation at least one week prior to the oral examination. The
oral defense must be budgeted for two hours. This is the minimum time needed for
the student presentation (25–30 minutes), questioning regarding the project (about 30
minutes), questioning regarding the reading material (about 30 minutes), and committee deliberations and form processing. The chair of the committee (see Chapter 5.2)
is responsible for ensuring that there is time for both phases of questioning (i.e., questioning about the project and questioning about the reading material).
The oral examination begins with a 30-minute presentation by the student providing
an overview of the research project undertaken by the student. The presentation is followed by questioning from the committee and the general audience. Exam questioning
should cover the project itself as well as the material from the reading list.
In addition to questions about the student’s work, the student should be prepared to
answer questions about their depth area in general and their research project in particular. The student should be:
• able to explain the main idea, conclusions, and relevance of any paper in their
report’s bibliography. The student is not expected to be completely familiar with
every detail of every paper.
• an expert on the focus papers from their reading lists. These papers represent the
state-of-the-art in the area, and the student will be held to a higher standard for
these papers. Deep questioning regarding them should be expected.
• familiar with the major concepts from the background readings in the reading
lists. The student will be expected to demonstrate a firm command of the background readings, as shown through general understanding and an ability to place
the work in context, but will not be questioned about them as closely as on the
focus papers.
Student are encouraged to provide the committee members with copies of the slides
used in the proposal presentation. Slides can be distributed in an electronic form a few
days in advance of the presentation or printed out and distributed at the oral examination itself. Providing numbered slides is a courtesy that helps the committee follow the
presentation and keep track of their comments.
Upon completion, the student should file (1) the “Report on PhD Exam” form and
(2) the “Computer Science Qualifying Exam Assessment” (see Chapter 8).
5.5.3
Qualifying Examination Depth Outcomes
Based on the student’s final project report and oral exam, the advisory committee will
determine if the student passed the depth portion of the qualifying exam. If the student’s
performance is not acceptable, the committee may permit a second attempt, in which
27
case the exam must be re-taken within one month. If the university is on holiday during
the next month (e.g., the student defends in December), the exam must be retaken
within the first month of the next semester. A total of at most two attempts are allowed.
5.6
Qualifying Examination Overall Outcomes
Based on the student’s performance on both the breadth and depth components of the
qualifying exam, the advisory committee will decide if the student has passed the overall qualifying examination.
28
Chapter 6
PhD Degrees
The PhD degree culminates with the student writing and defending a dissertation based
on the result of independent, original research that makes a significant contribution to
the student’s field of study. The work is expected to be of sufficient quality to merit
multiple peer-reviewed academic publications.
6.1
PhD Requirements
The PhD degree requires 72 graduate-level credits, including
• at least 24 credits of graded graduate-level coursework, containing
– one graded graduate-level mathematics course (may be satisfied by transfer
credit)
∗ MATH and APMA courses are acceptable
∗ “Introduction to Machine Learning and Data Mining” (CS 6501) is
acceptable
∗ other non-CS graduate courses with a significant mathematical component can also satisfy this requirement with the prior written approval
of the graduate program director
– no more than 6 credits from 5000-level courses, none of which are from the
CS department.
– at least 6 credits of graded graduate-level coursework in excess of that required for the Master’s degree (if possessing or obtaining a Master’s degree)
• (The remaining 48 graduate-level credits are typically satisfied via graduate teaching and research hours such as CS 9999.)
• Completion of the Qualifying Examination (see Chapter 5)
• Completion of the PhD Proposal (see Chapter 6.2)
29
• Completion of the Oral Defense of the written Dissertation (see Chapter 6.3)
These requirements have significant overlap with the MCS and MS degree requirements; many students choose to earn one of those Master’s degrees as part of their PhD
studies.
SEAS does not limit PhD transfer credit, but all transfer credits must be approved
by the student’s PhD committee (see Chapter 6.2.1 or Chapter 6.3.1). Students should
not assume that transfer courses will be accepted prior to curriculum committee approval. Students may take additional courses beyond those required for graduation.
6.2
PhD Proposal
Each PhD student must present a dissertation proposal, created under the guidance of
the student’s advisor. This proposal should be presented prior to performing extensive
research, in order to receive early faculty approval of the suitability of the proposed
research. The proposal should be completed by the end of the student’s third year.
6.2.1
PhD Proposal Committee
In most cases, the PhD proposal committee is the same as the PhD defense committee
(see Chapter 6.3.1). However, other committee compositions are possible provided
the committee contains the student’s research advisor, a chair, a minor representative
(outside the student’s department and major curriculum study area), and at least one
other person.
There is no form to indicate the PhD Proposal Committee in advance. Instead, the
committee is indicated on forms used the day of the PhD Proposal Oral Examination
(see Chapter 6.2.3). Students must obtain verbal confirmation from their committee
members before scheduling the proposal.
6.2.2
PhD Proposal Document
The student’s proposal document should clearly and unambiguously convey the scope
of the work and the criteria for success. Every proposal should include the following
elements:
Abstract An executive summary, no more than half a page long;
Motivation What is the problem and why is it important? What is the hypothesis of
this research?
Contributions What are the main ideas and why do they matter? In what way are they
novel?
Related work What is the relevant prior work and state-of-the-art in this area? A
comprehensive literature review may be included as an appendix, which is not
subject to page limitations, although such an appendix is not a substitute for the
related work section in the body of the proposal.
30
Detailed research plan What specifically will be completed during the course of the
research and how will it be implemented, designed, and evaluated? For projects
with a significant implementation component, give enough details of the features
to be implemented and the experimental setup involved so that the committee can
evaluate the feasibility of the project. Similarly, for projects with a significant
theoretical component, give substantial details of the formalisms used (e.g., proposed theorems, proof schemas, and logical frameworks) for the committee to
judge the feasibility of the proposed work.
Summary
Proposals can also include a section devoted to the work completed by the student
thus far although this section is not formally required.
Proposal documents should not exceed 15 single-spaced pages (or 30 double-spaced
pages). The bibliography and any appendices (appendices are not required to be read
by the student’s committee) are not included in this page limit. Proposals should favor
brevity over exhaustiveness. Departures from these guidelines must be approved in
advance by the student’s proposal committee. The written proposal document must be
submitted to the committee at least two weeks in advance of the proposal presentation.
Some faculty members have preferences on formatting details (e.g., double-spaced
text). In the absence of any particular instruction, students should follow National
Science Foundation (NSF) grant proposal formatting guidelines.
6.2.3
PhD Proposal Oral Presentation
The PhD Proposal Oral Presentation must be publicly announced two weeks (14 days)
in advance via the graduate administrator.
As a rule of thumb, presentations should not exceed 30 minutes, but should be
scheduled for at least 120 minutes to allow for questions and a post-presentation discussion by the committee. The student must bring forms (1) “Dissertation Proposal
and Admission to Candidacy” and (2) “Engineering Dissertation Proposal Assessment”
(see Chapter 8) to the PhD proposal presentation to be filled out by the committee and
filed immediately afterwords.
Student are encouraged to provide the committee members with copies of the slides
used in the proposal presentation. Slides can be distributed in an electronic form a few
days in advance of the presentation or printed out and distributed at the presentation
itself. Providing numbered slides is a courtesy that helps the committee follow the
presentation and keep track of their comments.
6.2.4
PhD Proposal Outcomes
If the committee decides that the proposal is sufficient they will accept it without
changes, communicating any feedback to the student personally. The committee may
also decide that formal amendments to the written document are required before the
proposal can be accepted. In such a case the committee chair will often “hold” the
forms until all committee members have indicated their satisfaction with the updated
material.
31
Once accepted, the proposal is a binding document on the committee. If the student
competently carries out the work described therein, the committee will not reject the
student’s PhD dissertation on the grounds that too little has been done. It is not binding
on the student, who is free to adjust the research plan. However, there is no guarantee
that research other than that outlined in the proposal adjusted will be of sufficient depth
and quantity to satisfy the PhD requirements: students adjusting research plans should
thus confer with their committees.
In the event that a suitable proposal is not presented but the faculty believes the student has sufficient research potential, another research presentation will be scheduled
within six months. If a suitable proposal is still not presented, the student is subject to
dismissal from the program. One final outcome of the proposal presentation might be
that the student does not have sufficient research potential to complete a dissertation in
a timely fashion; in this case the student will be subject to dismissal from the program.
6.3
PhD Defense
Student should double-check their completion of the requirements using the report
offered by the Student Information System (SIS) website.
To receive a graduate degree, students must file form “Application for Graduate Degree” (see Chapter 8) at the start of the semester during which they expect to graduate
(i.e., no later than 1 October, 1 February, or 1 June, respectively).
6.3.1
PhD Defense Committee
A PhD student’s Final PhD Examining Committee (i.e., PhD Defense Committee) shall
consist of a minimum of five members constituted according to the following rules.
There must be at least three Computer Science faculty members, at least one UVa faculty member from outside the Computer Science department, and at least one other
member with expertise in the research area. The Department recommends one of the
committee members to be an expert from outside the University. The dissertation advisor must be a member of the Computer Science faculty. This committee evaluates the
student’s PhD dissertation and oral defense.
The student should file form “Appointment of Final Examination Committee”, selecting “Ph.D. Final Exam”, to officially create the committee (see Chapter 8).
6.3.2
PhD Dissertation
The dissertation should convey the research results and argue that those results are valid
and correct. The exact form of the dissertation can vary across topics, but in general a
dissertation will include the following elements.
• Presentation of the work’s motivation, hypothesis, and contributions.
• Placement of the work in the context of prior art.
• An explanation of how the proposed work was carried out. Where applicable,
this should provide enough information for the reader to replicate the results.
32
• Conclusions drawn from the work and a discussion of future research directions
suggested by the project.
A dissertation should be a self-contained document. In particular, it should not assume that the reader has read the corresponding proposal, but it should provide enough
context that a reader who has read the proposal can readily understand how the performed work fulfills the promises in the proposal.
The written dissertation document must be submitted to the committee at least two
weeks (14 days) in advance of the oral defense. Additional formatting requirements
are published by Printing and Copying Services (see Chapter 7).
6.3.3
PhD Oral Defense
The dissertation defense, which must be announced publicly two weeks (14 days) in
advance via the department administrator, is an oral defense before the student’s advisory committee as well as other faculty, students, and anyone else interested in the
work. The written dissertation document must have been submitted to the committee
at least two weeks (14 days) in advance of the oral defense. Generally, presentations
should not exceed 45 minutes, but should be scheduled for at least 120 minutes to allow
for audience questions and a post-presentation discussion by the committee.
The student should bring forms “Report on Dissertation or Thesis Final Examination” and “Engineering MS Thesis PhD Dissertation Assessment ” to the defense so
they may be filled out by the committee and submitted immediately afterwords (see
Chapter 8). The student must also complete the “Survey of Earned Doctorates” at
https://sed.norc.org/doctorate/showRegister.do.
Students are encouraged to provide the committee members with copies of the
slides used in the oral defense. Slides can be distributed in an electronic form a few
days in advance of the presentation or printed out and distributed at the defense itself.
Providing numbered slides is a courtesy that helps the committee follow the presentation and keep track of their comments.
6.3.4
PhD Outcomes
Based on the student’s dissertation document and oral exam, the advisory committee
will either
• sign the forms indicating the student has earned a PhD degree,
• require formal amendments to the written dissertation and “hold” the forms until
they are made,
• specify significant amendments to the dissertation to be followed by a new defense, or
• declare the work unsatisfactory and dismiss the student from the program.
33
34
Chapter 7
University Policies and
Resources
The Department of Computer Science is part of the School of Engineering and Applied
Science within the University of Virginia. All students are expected to comply with
SEAS and UVa policies as defined and published by their respective governing bodies.
For reference, information about some of those policies is listed here.
University Registrar
http://www.virginia.edu/registrar/
Academic Calendar
http://www.virginia.edu/registrar/calendar.html
Transfer Credit
Transfer classes will show as “Courses Not Approved for Graduate Engineering”
until you complete the following form and bring or send it to the Graduate Office
(A108 Thornton Hall). Once approved, such courses will appear as satisfying
the departmental course credit requirements: http://www.cs.virginia.
edu/forms/FormRequestforApprovalofTransferCredits.pdf and
http://www.seas.virginia.edu/advising/SEAS_grad_course_
approval.pdf
Enrollment and Degree Certification
http://www.virginia.edu/registrar/status.html
Family Educational Rights and Privacy Act (FERPA)
http://www.virginia.edu/registrar/privacyact.html
Student Information System (SIS)
http://www.virginia.edu/sis/
Transcripts
http://www.virginia.edu/registrar/transcript.html
35
Equal Opportunity
UVa is committed to equal opportunity and affirmative action. If students feel
they have been subject to discriminatory practices they may seek redress through
the resources outlined at http://www.virginia.edu/eop/
Graduate Record
Students at UVa are subject to the university’s academic, financial, and nonacademic rules and regulations, as outlined in the “Regulations” chapter of the
graduate record. These include policies on tuition and fees; class registration,
auditing, and attendance; grievances and redress; graduation and diplomas; military personnel, both veterans and those on active duty; parking and transportation
on grounds; legal issues such as copyright, confidentiality, and harassment; and
many other topics: http://records.ureg.virginia.edu/
Theses and Dissertations
All PhD dissertations and Master’s theses are printed and bound by Printing and
Copying Services. Submission guidelines are maintained online at http://
www.virginia.edu/uvaprint/copy_dissertations.html. The
CSGSG maintains links to student-generated LATEX style files that satisfy these
guidelines at http://www.cs.virginia.edu/˜csgsg/links.php
Honor System
http://www.virginia.edu/honor/
SEAS Graduate Program Contact Information
The Associate Dean for Graduate Programs, Employment Services Specialist,
Graduate Payroll/Financial Aid Administrator, and Graduate Admissions Office
can all be useful to graduate students. Contact information for them is maintained at http://www.seas.virginia.edu/admin/gradprog.php
SEAS Graduate Student Payment Paperwork
SEAS handles the payment of those students with funding or employment within
the department. Students are responsible for ensuring that all relevant paperwork has been filed with the Graduate Financial Aid Administrator. A list of
documents that must be filed prior to being paid through the university, either
as an employee or a grant recipient, may be found at http://www.seas.
virginia.edu/admin/hr/grad/forms.php
SEAS Center for Diversity
SEAS maintains a center for diversity in engineering to assist students from underrepresented populations in science, technology, engineering, and mathematics. All students are welcome to utilize these services; more information may be
found at http://www.seas.virginia.edu/admin/diversity/
Teaching Resource Center
http://trc.virginia.edu/Publications/
36
Chapter 8
Forms
The most relevant forms are collected on the department webpage:
http://www.cs.virginia.edu/forms/index.html
For your convenience, direct links to some common administrative forms are also
provided here.
Appointment of Final Examination Committee
(replaces old form “G105”)
http://www.seas.virginia.edu/advising/Form%20Final%20Examination%
20Committee.pdf
Report on PhD Exam
“PhD Exam Report” (for Quals, replaces old form “G107”)
http://www.seas.virginia.edu/advising/Form%20PhD%20Exam%
20Report.pdf
Computer Science Qualifying Exam Assessment
(replaces old CS-specific form “G107”)
http://www.cs.virginia.edu/forms/CSqualexamassessment.
pdf
Dissertation Proposal and Admission to Candidacy
http://www.seas.virginia.edu/advising/Form%20Dissertation_
Proposal.pdf
Engineering Dissertation Proposal Assessment
(replaces old G108-A)
http://www.seas.virginia.edu/advising/Engineering_dissertation_
proposal_Assessment.pdf
Application for Graduate Degree
(replaces old form “G113”)
http://www.seas.virginia.edu/advising/Form%20Application%
20for%20Graduate%20Degree.pdf
37
Report on Dissertation or Thesis Final Examination
“Final Report on Final Examination” (replaces old form “G111”)
http://www.seas.virginia.edu/advising/Form%20Report%20on%
20Final%20Examination.pdf
Engineering MS Thesis PhD Dissertation Assessment
http://www.seas.virginia.edu/advising/Engineering_thesis_
&_dissertation_Assessment.pdf
Graduate Student Annual Report Form
http://www.cs.virginia.edu/forms/GradAnnualReport.docx
or http://www.cs.virginia.edu/forms/GradAnnualReport.tex
38
We gratefully acknowledge Aaron Bloomfield, Joel Coffman, Jack Davidson, Brenda
Perkins, Gabriel Robins, Mary Lou Soffa, Luther Tychonievich, and the CSGSG for
help creating this document. The UVa CS graduate handbook is currently maintained
by Westley Weimer.
Enlighten the people generally, and tyranny
and oppression of body and mind will vanish
like evil spirits at the dawn of day . . . the
diffusion of knowledge among the people is to
be the instrument by which it is to be effected.
— Thomas Jefferson, 1816